Speakers and Program Committee
Directory
First name |
Last name | Short title |
|---|---|---|
| Yevgeni | Litvin | Tech Lead @Uber |
| Wes | Reisz | Software/Technical Advisor C4Media & QCon Chair, previous Architect @HPE |
| Vitaliy | Liptchinsky | Research Engineering Manager @Facebook AI Research |
| Tim | Berglund | Senior Director of Developer Experience @Confluent |
| Sumit | Rangwala | Senior Staff Software Engineer - Artificial Intelligence @LinkedIn |
| Sri | Krishnamurthy | Chief Data Scientist and CEO of @QuantUniversity |
| Sravya | Tirukkovalur | Senior Machine Learning Engineer @Adobe |
| Soups | Ranjan | Financial Crime Risk @RevolutApp |
| Sid | Anand | Chief Data Engineer @PayPal |
| Shengyu | Fu | Principal Data Scientist Manager @Microsoft |
| Shankar | Iyer | Data Scientist @Facebook |
| Sean | Taylor | Core Statistics Team @Facebook |
| Roland | Meertens | Machine Learning Engineer @Autonomous Intelligent Driving |
| Randy | Shoup | VP Engineering @WeWork |
| Prabhat | Data and Analytics Group Lead @NERSC | |
| Piero | Molino | Senior ML / NLP Research Scientist @UberAILabs |
| Peter | Schafhalter | Research Assistant @UC Berkeley RISELab |
| Pete | Warden | Technical Lead of TensorFlow Mobile @Google |
| Nischal | Harohalli Padmanabha | VP of Engineering and Data Science at @Omnius |
| Nasim | Souly | Senior Engineer & Machine Learning Researcher @Volkswagen |
| Mitul | Tiwari | Cofounder and CTO of @PassageAI |
| Mike | Lee Williams | Research engineer @Cloudera Fast Forward Labs |
| Mantas | Matelis | Software Engineer @Cardiogram |
| Malay | Haldar | Machine Learning Engineer @Airbnb |
| Louise | Poubel | Software Engineer @OpenRoboticsOrg |
| Lloyd | Danzig | Chairman & Founder of @ICED(AI) |
| Keunwoo | Choi | Research Scientist @Spotify |
| Katharine | Jarmul | Co-Founder of KIProtect |
| Josh | Wills | Software Engineer, Search, Learning, and Intelligence @SlackHQ |
| Joel | Grus | Senior Research Engineer @allen_ai |
| Jibin | Liu | Software Engineer ex-eBay now @Amazon |
| Jeremy | Edberg | Cofounder @CloudNative |
| Jendrik | Jördening | Data Scientist @Nooxit |
| Hien | Luu | Engineering Manager @Linkedin focused on Big Data |
| Gwen | Shapira | Principal Data Architect @Confluent, PMC Member @Kafka, & Committer Apache Sqoop |
| Guy | Gerson | Big Data Developer @PayPal |
| Felix | GV | Staff Software Engineer @LinkedIn |
| Eric | Tramel | Federated Learning R&D Lead @OWKIN |
| Eric | Chen | Tech Lead & Manager @Uber |
| Emmanuel | Ameisen | Head of AI @InsightDataSci |
| Emily | Samuels | Staff Engineer @Spotify |
| Diana | Hu | Director of Engineering & AR Platform @NianticLabs |
| Cliff | Click | CTO of @CratusTech |
| Chintan | Turakhia | Engineering Manager @Uber |
| Charles | Humble | Editor-in-chief, InfoQ.com |
| Avesh | Singh | Software Engineer & Technical Lead @Cardiogram |
| Anita | Sengupta | Aerospace Engineer, Chief Product Officer @AirspaceXP, Prof @USC, Pilot, ex @NASA Rocket Scientist |
| Anil | Muppalla | Data Engineer @Spotify |
| Andreas | Gros | Data Scientist @Facebook |
| Amit | Nene | Staff Engineer, Tech Lead Manager @Uber |
| Allison | Buchholtz-Au | Program Manager II @Microsoft |
| Alex | Beutel | Senior Research Scientist @Google |
| Aashish | Sheshadri | Staff ML Research Engineer @PayPal |
2019 Tracks
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Predictive Architectures in the Real World
Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix.
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Predictive Data Pipelines & Architectures
Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix
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Sequential Data: Natural Language, Time Series, and Sound
Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.
-
ML in Action
Applied track demonstrating how to train, score, and handle common machine learning use cases, including heavy concentration in the space of security and fraud
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Deep Learning in Practice
Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.
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Handling Sequential Data Like an Expert / ML Applied to Operations
Discussing the complexities of time (half track) and Machine Learning in the data center (half track). Exploring topics from hyper loglog to predictive auto-scaling in each of two half-day tracks.
Half-day tracks
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AI Meets the Physical World
Where AI touches the physical world, think drones, ROS, NVidia, TPU and more.
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Hands-on Codelabs & Speakers Office Hours
Codelabs are a self-guided tutorial of a product, API, or tool kit followed by an Office Hour period with the lab’s creator.
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Papers in Production: Modern CS in the Real World
Groundbreaking papers make real-world impact.